An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis
碩士 === 國立交通大學 === 資訊管理研究所 === 83 === Strategic alliance is an effective way for a firm to get competitive advantage. Through strategic alliance, a firm can get its needed resource from other firms. Firms that are directly or indirectly allied thus form a...
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ndltd-TW-083NCTU03960282015-10-13T12:53:37Z http://ndltd.ncl.edu.tw/handle/10478800715251990544 An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis 台灣資訊電子業之結盟網路分析---社會網路分析法 Fang, Tzy-Tsong 方滋聰 碩士 國立交通大學 資訊管理研究所 83 Strategic alliance is an effective way for a firm to get competitive advantage. Through strategic alliance, a firm can get its needed resource from other firms. Firms that are directly or indirectly allied thus form a network - so-called alliances network. This research intends to use social structure analysis technique to analyze the attributes of alliances networks of Taiwan''s information industries. Secondary data of alliances are collected from various sources for this purpose. Alliance is classified into four kinds: R&D, product, marketing, and finance. After the complex network is constructed in the computer, density analysis and actor analysis are executed to understand the characteristics of the network. The density analysis enables us to understand five structures of alliances: vertical alliance, horizontal alliance, international alliance, governmental institution alliance, and arbitrary alliance. The actor analysis allows us to understand the role patterns of each group, which is structurally equivalent in the network. Yu, Keh-Chiang 尤克強 1995 學位論文 ; thesis 77 zh-TW |
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NDLTD |
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zh-TW |
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Others
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description |
碩士 === 國立交通大學 === 資訊管理研究所 === 83 === Strategic alliance is an effective way for a firm to get
competitive advantage. Through strategic alliance, a firm can
get its needed resource from other firms. Firms that are
directly or indirectly allied thus form a network - so-called
alliances network. This research intends to use social
structure analysis technique to analyze the attributes of
alliances networks of Taiwan''s information industries.
Secondary data of alliances are collected from various sources
for this purpose. Alliance is classified into four kinds: R&D,
product, marketing, and finance. After the complex network is
constructed in the computer, density analysis and actor
analysis are executed to understand the characteristics of the
network. The density analysis enables us to understand five
structures of alliances: vertical alliance, horizontal
alliance, international alliance, governmental institution
alliance, and arbitrary alliance. The actor analysis allows us
to understand the role patterns of each group, which is
structurally equivalent in the network.
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author2 |
Yu, Keh-Chiang |
author_facet |
Yu, Keh-Chiang Fang, Tzy-Tsong 方滋聰 |
author |
Fang, Tzy-Tsong 方滋聰 |
spellingShingle |
Fang, Tzy-Tsong 方滋聰 An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis |
author_sort |
Fang, Tzy-Tsong |
title |
An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis |
title_short |
An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis |
title_full |
An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis |
title_fullStr |
An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis |
title_full_unstemmed |
An analysis of Alliances Networks of Information Industry --- Using Social Network Analysis |
title_sort |
analysis of alliances networks of information industry --- using social network analysis |
publishDate |
1995 |
url |
http://ndltd.ncl.edu.tw/handle/10478800715251990544 |
work_keys_str_mv |
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